The decomposition number K and penalty factor α in the variational mode decomposition
(VMD) algorithm have a great influence on the decomposition effect and the accuracy of …

Condition-based monitoring for critical assets is reliant on the quality of the indicators used
for condition inference. These indicators must be sensitive to the development of faults …

The order-frequency spectral coherence and its integrated spectra (eg improved envelope
spectrum, squared envelope spectrum) are some of the most powerful methods for …

In semiconductor manufacturing, wafer bin maps (WBMs) present specific defect patterns
that provide crucial information for tracking abnormal processes. Thus, it is necessary to …

Cross-domain fault diagnosis of bearings has attracted significant attention. However,
traditional cross-domain diagnostic methods have the following shortcomings:(1) when the …

The application of transfer learning in fault diagnosis has been developed in recent years. It
can use existing data to solve the problem of fault recognition under different working …

Given the critical role of rotating machinery in industrial cyber-physical systems (ICPS),
ensuring their reliable operation is essential for the stability and safety of ICPS. Deep neural …

Gear pitting is a common gearbox failure mode that can lead to unplanned machine
downtime, inefficient power transmission and a higher risk of sudden catastrophic failure …

Open set fault diagnosis (OSFD) refers to the task of identifying faults in a system where the
set of possible faults is not predetermined and may include novel, unseen faults. This can be …

Operated under changing wind speed and harsh environment conditions, the rotating parts
in wind turbine gearboxes, such as gears and bearings, will deteriorate and become faulty …